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The sustainable cell formation problem: manufacturing cell creation with machine modification costs

机译:可持续的单元格形成问题:用机器修改成本制造单元格

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摘要

An approach for manufacturing cell formation with machine modification is presented. In cell formation it is often important in practice to be able to reassign parts to additional machine types in order to create better cell configurations. This involves extending the set of parts that certain individual machines can process. Such extensions may be cheaper than simply purchasing additional machines. Thus, there is the possibility of machine modification to reduce inter-cell travel. The cost of such modifications must be balanced by the consequent reduction in inter-cell travel cost. The extended machine cell formation problem to be described involves the specification of which individual machines should be modified to enable them to process additional part types, part-machine assignment, and the grouping of individual machines for cell formation. The objective is to minimize the sum of the machine modification costs and the inter-cell travel. We call this the sustainable cell formation problem (SCFP). As far as the authors are aware, there have not been any solution procedures for this important problem reported in the open literature. It is our purpose to fill this gap by presenting a mixed integer programming model of the SCFP. We also propose and analyze greedy and tabu search heuristics for the design of large-scale systems related to the SCFP. Computational experience with the solution procedures indicates that they are likely to be useful additions to the production engineer's toolkit.
机译:提出了一种通过机器修改来制造孔形成的方法。在单元形成中,实践中通常很重要的是能够将零件重新分配给其他机器类型,以创建更好的单元配置。这涉及扩展某些特定机器可以处理的零件集。这样的扩展可能比仅购买其他机器便宜。因此,有可能进行机器修改以减少小区间行进。这种修改的费用必须通过小区间旅行费用的相应减少来平衡。待描述的扩展机器单元形成问题涉及应该修改哪些单个机器的规范,以使其能够处理其他零件类型,部分机器分配以及用于形成单元的单个机器的分组。目的是使机器改造成本和小区间旅行的总和最小化。我们称其为可持续细胞形成问题(SCFP)。据作者所知,公开文献中还没有针对该重要问题的任何解决方法。我们的目的是通过提出SCFP的混合整数编程模型来填补这一空白。我们还建议并分析贪婪和禁忌搜索启发式算法,以设计与SCFP相关的大型系统。解决方案过程的计算经验表明,它们可能是生产工程师工具包的有用补充。

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